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R Data Visualization Recipes

You're reading from   R Data Visualization Recipes A cookbook with 65+ data visualization recipes for smarter decision-making

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Product type Book
Published in Nov 2017
Publisher Packt
ISBN-13 9781788398312
Pages 366 pages
Edition 1st Edition
Languages
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Author (1):
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Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
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Table of Contents (19) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Installation and Introduction FREE CHAPTER 2. Plotting Two Continuous Variables 3. Plotting a Discrete Predictor and a Continuous Response 4. Plotting One Variable 5. Making Other Bivariate Plots 6. Creating Maps 7. Faceting 8. Designing Three-Dimensional Plots 9. Using Theming Packages 10. Designing More Specialized Plots 11. Making Interactive Plots 12. Building Shiny Dashboards

Chapter 3. Plotting a Discrete Predictor and a Continuous Response

Inthis chapter, we will cover the following recipes:

  • Installing the car package and getting familiar with data
  • Drawing simple box plots
  • Adding notches and jitters to box plots
  • Drawing bivariate dot plots using ggplot2
  • Using more suitable colors for geom_dotplot
  • Combining box with dot plots
  • Using point geometry to work as dots using ggvis, plotly, and ggplot2
  • Crafting simple violin plots
  • Using stat_summary to customize violin plots
  • Manually sorting and coloring violins
  • Using the ggjoy package to replace violins
  • Creating publication quality violin plots
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